---Features---
-Used YouTube Data API for this task of Getting the Youtube Video and Channel Stats.
-Collected data from YouTube (Meta-data of Videos and Channel) for ten channels. Made sure that channels have active viewership, i.e. many people watch the videos on a daily basis.
-Track the increase/decrease in the statistics of video or channel, on a timely basis.
-Used Python-Schedule for scheduling tasks.
-Used Logger to track all the logs of the Error responses.
-Used MatPlotLib to show the Graphical view of the stats of a particular Channel/Video.
-Created RestFulAPI using DjangoRestFramework with MySQL in Backend.
-Implemented SwaggerUI for the better diplay of API-UI.
-Implemented Aggrid in the Front-end using JavaScript with Ordering and Filtering Features.
---Installation Steps---
-Clone the Repository in to your local machine using https://github.com/tharun323/YoutubeDataAggregator.git
-Put the repo into a folder and in the root folder install the Virtual Environment and activate it using
virtualenv venv and
goto venv/Scripts/ and Activate the VirtualEnvironemnt using activate
-Then Goto datagg folder path and run the manage.py file using python manage.py runserver after the server starts running.
-Change the MySQL backend as per your requirements, settings present in settings.py Also change the Logfile path in the Logger dictionary in settings.py
-Run the Migrations using python manage.py migrate and 'python manage.py makemigrations`
-Install the required Python Packages using the requirements.txt file using command pip install -r requirements.txt
(this is found in the root folder)
-Link http://127.0.0.1:8000/youtube/ will give the SwaggerUI Template to access the RESTAPI
---Further Steps---
-Load the Initial Data in to the data base (Channel List with id's) using python manage.py loaddata initialdata
-Individually run the functions in the data_req.py file both for the channel_stats and video_stats' or just uncomment the part in scheduling part in the data_req.py`
-Now goto 127.0.0.1:8000/youtube/home for viewing the Home page of the App.
#Screen Shots
-Swagger UI
-Stats Chart from Video Data using Matplotlib
-Aggrid to view the data in frontend
-RESTful API
